Computational Life Sciences (Graduate Certificate)
Program Overview
The Computational Life Sciences Graduate Certificate equips students with the skills to analyze diverse life sciences data, apply computational techniques in research, and enhance problem-solving and communication abilities. It offers a hybrid delivery format, with elective courses tailored to students' interests and career goals. Graduates are prepared for careers in bioinformatics, ecology, microbiology, and other computational life sciences fields.
Program Outline
Degree Overview:
Computational Life Sciences (Graduate Certificate)
Program Description:
This program equips students with the skills and knowledge to understand, interpret, and analyze diverse data types generated from various life sciences disciplines, including ecology, botany, evolutionary biology, neuroscience, molecular and cellular biology, and animal behavior. It aims to complement traditional bench-based approaches with computational methods, enabling students to arrive at novel insights and effectively apply computational techniques in life sciences research.
Program Objectives:
- Develop expertise in understanding, interpreting, and analyzing diverse data types generated from life sciences disciplines.
- Gain the knowledge and skills to apply computational techniques in life sciences research.
- Enhance problem-solving and critical thinking skills through data analysis and interpretation.
Careers:
Career Opportunities:
- Bioinformatics Scientist: Analyze and interpret complex biological data using computational tools and algorithms.
- Computational Lab Technician: Assist in the development and implementation of computational workflows for life sciences research.
- Core Facilities Research Scientist: Conduct research in a core facility setting, applying computational expertise to various projects.
- Ecologist: Analyze and model ecological systems using computational tools.
- Educator: Teach computational life sciences concepts and skills to students of various levels.
- Microbiologist: Use computational methods to analyze and interpret data related to microbial communities.
- Natural Sciences Manager: Manage research projects and teams in a computational life sciences setting.
- Software Developer: Develop software tools and applications for life sciences research.
Other:
Program Duration:
16 credit hours including a portfolio.
Program Structure:
- Required Core Course (1 credit hour): BIO 610 or BIO 611 (Responsible Conduct of Research in Life Sciences)
- Elective Courses (15 credit hours): Selected from a restricted list in consultation with the academic unit.
- Culminating Experience (0 credit hours): Portfolio
Admission Requirements:
- Bachelor's or Master's degree in life sciences or a related field from a regionally accredited institution.
- Minimum cumulative GPA of 3.00 in the last 60 hours of the first bachelor's degree program or a minimum cumulative GPA of 3.00 in an applicable master's degree program.
Application Requirements:
- Graduate admission application and application fee
- Official transcripts
- Written statement
- Proof of English proficiency (if applicable)
Tuition:
Varies depending on residency status.
Program Location:
Tempe, Arizona. Available online.
- This program is offered through the School of Life Sciences in The College of Liberal Arts and Sciences.
- It is a STEM-designated program, making graduates eligible for the OPT extension for up to 36 months.
- The program is accredited by the Higher Learning Commission.
Arizona State University: A Comprehensive Overview
Overview:
Arizona State University (ASU) is a top-ranked research university located in the greater Phoenix metropolitan area. It is known for its innovative approach to education, offering a wide range of undergraduate and graduate programs across various disciplines. ASU is recognized for its commitment to inclusivity, serving learners at all stages of life and fostering a diverse and welcoming community.
Services Offered:
ASU provides a comprehensive range of services to support student success, including:
Academic Support:
Tutoring, advising, and academic success resources.Financial Aid:
Scholarships, financial aid programs, and tuition assistance.Student Life:
Housing and dining, clubs and activities, health and wellness services, and transportation.Career Services:
Job and career resources, internship opportunities, and career counseling.Student Life and Campus Experience:
ASU offers a vibrant and engaging campus experience with a strong sense of community. Students can participate in a wide array of clubs, organizations, and events, fostering personal growth and development. The university's diverse student body creates a rich cultural environment, promoting global perspectives and intercultural understanding.
Key Reasons to Study There:
Top-Ranked Programs:
ASU boasts numerous top-ranked programs, including 82 programs ranked in the top 25 nationally, with 37 in the top 10.Innovative Learning Environment:
ASU embraces a flexible and personalized approach to learning, allowing students to customize their academic journey.World-Class Faculty:
Students benefit from instruction led by renowned professors and researchers, many of whom are leaders in their fields.Global Impact:
ASU is consistently ranked among the top universities for global impact, demonstrating its commitment to addressing global challenges.Diverse and Inclusive Community:
ASU fosters a welcoming and inclusive environment, embracing students from all backgrounds and promoting a sense of belonging.Academic Programs:
ASU offers over 800 degree programs across a wide range of disciplines, including:
Undergraduate:
More than 400 undergraduate degrees in fields such as engineering, journalism, business, sustainability, nursing, education, and more.Graduate:
Over 450 graduate degrees, including master's and doctoral programs.Other:
ASU is known for its commitment to research and innovation, with a strong focus on addressing real-world challenges. The university is also a leader in sustainability, promoting environmental responsibility and social justice.
Applicants are required to submit:
- Graduate admission application and application fee
- Official transcripts
- Written statement
- Proof of English proficiency
- The written statement should discuss the applicant's future career goals to better assist the student with selecting the most applicable set of courses in computational life sciences. we can only return:
